Remote MPH: Health Policy & AI Data Trainer

Alignerr Corp.; Oxford; Remote; GBP 36,000 - 57,000; Part time

Benefits offered by this job

Flexible remote hours

Competitive hourly pay

Contractor-friendly

Job summary

Alignerr is seeking Masters in Public Health graduates to train AI models on population health, biostatistics, and global health equity. Work remotely 10–40 hours/week at an hourly rate of $35–$55, contributing to evidence-based health information and policy analysis.

Join a team partnering with leading AI researchers to challenge models, ensure scientific consensus, and uphold ethical health guidelines while delivering high-impact outcomes globally.

Qualifications

• Advanced degree in public health or related field.
• Strong foundations in epidemiology, biostatistics or health policy.
• Analytical writing with ability to translate data into clear info.
• High precision when checking data and citations.

Responsibilities

• Design complex public health scenarios for AI training.
• Create ground-truth, evidence-based responses using peer-reviewed sources.
• Audit AI-generated health advice for accuracy and bias.
• Provide structured feedback to improve risk communication.

Skills

Epidemiology

Biostatistics

Health Policy

Analytical Writing

Public Health

Attention to Detail

Education

MPH/MSPH or related

Tools

R

SAS

Stata

Job description

Alignerr is seeking Masters in Public Health graduates to train AI models on population health, biostatistics, and global health equity. Work remotely 10–40 hours/week at an hourly rate of $35–$55, contributing to evidence-based health information and policy analysis.

Join a team partnering with leading AI researchers to challenge models, ensure scientific consensus, and uphold ethical health guidelines while delivering high-impact outcomes globally.